Training completed!

README.md

@@ -17,8 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.3721
-- F1: 0.0
+- Loss: 0.5288
+- F1: 1.0
 
 ## Model description
 
@@ -38,7 +38,7 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 5e-05
-- train_batch_size: 24
+- train_batch_size: 6
 - eval_batch_size: 8
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
@@ -49,9 +49,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | F1  |
 |:-------------:|:-----:|:----:|:---------------:|:---:|
-| 1.052         | 1.0   | 42   | 0.5391          | 1.0 |
-| 0.4441        | 2.0   | 84   | 0.3966          | 0.0 |
-| 0.297         | 3.0   | 126  | 0.3721          | 0.0 |
+| 1.3192        | 1.0   | 42   | 0.9079          | 0.0 |
+| 0.6809        | 2.0   | 84   | 0.5689          | 1.0 |
+| 0.4085        | 3.0   | 126  | 0.5288          | 1.0 |
 
 
 ### Framework versions

runs/Jul26_10-22-25_52ee929e7106/events.out.tfevents.1721989601.52ee929e7106.2210.0

@@ -1,3 +1,3 @@
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+size 7119